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Graph-based deep learning frameworks for molecules and solid-state materials - ScienceDirect
geometric deep learning - How Graph Convolutional Neural Networks forward propagate? - Artificial Intelligence Stack Exchange
How Graph Neural Networks (GNN) work: introduction to graph convolutions from scratch | AI Summer
kGCN: a graph-based deep learning framework for chemical structures | Journal of Cheminformatics | Full Text
An end-to-end classification framework based on deep learning. CNN,... | Download Scientific Diagram
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models | Journal of Cheminformatics | Full Text
Graph neural networks: A review of methods and applications
A comprehensive survey on graph neural networks - KDnuggets
How Attention works in Deep Learning: understanding the attention mechanism in sequence models | AI Summer
Structure-based protein function prediction using graph convolutional networks | Nature Communications
Graph Convolutionを自然言語処理に応用する Part1 | by piqcy | programming-soda | Medium
Deep Learning Total Energies and Orbital Energies of Large Organic Molecules Using Hybridization of Molecular Fingerprints | Journal of Chemical Information and Modeling